Accelerating Rate Calorimeter (ARC)

Accelerating Rate Calorimeter (ARC) for Chemical Reactivity Testing

An Accelerating Rate Calorimeter (ARC®) is a high-sensitivity adiabatic calorimeter used to study the thermal stability, decomposition behavior, and self-heating potential of chemical substances—especially under unstable or runaway reaction conditions. The ARC is designed to simulate and analyze worst-case thermal scenarios by mimicking adiabatic conditions. It’s used primarily for hazard assessment of materials in chemical, pharmaceutical, battery, and energy industries.
ARC provides pressure and temperature response when sample is subjected to heat. It is used to obtain thermodynamic properties of chemical reactions:
  1. Number of exotherms
  2. Onset temperature of exotherm
  3. Temperature and pressure rise rate
  4. Total pressure and volume of gases
  5. Adiabatic temperature rise (ΔTad)
  6. Time to maximum rate (TMR)
  7. Activation energy (Ea)
  8. Heat of reaction or decomposition (Heat generated)
Exotherm rates as low as 0.02°C/min can be detected under heat-wait-search heating mode, or as low as 0.005°C/min for iso-aging mode. The significant advantage that the ARC offers over other similar techniques is exothermic onset detectability at 0.02°C/min along with simultaneous pressure measurement.

Standards / References:

ASTM E1981 “Assessing Thermal Stability of Materials by Methods of Accelerating Rate Calorimetry”

Equipment used:

  • CSI ARC 2000
  • TIAX (Netzsch Instrument) ARC 254

Columbia Scientific Inc’s (CSI) Accelerating Rate Calorimeter (ARC) 2000

TIAX ARC 254

Example Plot:

Sample Temperature & Pressure vs. Time

Temperature rise rate & Pressure rise rate vs. Time

Table 1: ARC Test result

Cell Type Wt. Loss Onset T of Exotherm* Max. Holder T Max. Cell T Heat of Reaction Max. Cell dT/dt Max. Cell Holder dT/dt Cell V Drop T Cell T at 15 °C/min
Typical % °C °C °C kJ °C/min °C/min °C °C
21700 66 90 434 1352 81 29,292 627 106.2 171.4

FAQ:

  • Sample placement: The test cell (battery, chemical, powder, etc.) is placed inside a sealed container call test cell.
  • Heating: most common heating mode is Heat-Wait-Search; Heat calorimeter to target temperature (heat step of 5-10˚C) → Wait to equilibrate temperature of sample, holder and calorimeter → Search for detecting exotherm.
  • If no self-heating, continue next heat step.
  • If self-heating is detected, the ARC switches to adiabatic tracking mode, where furnace heats same rate as sample.
  • Runaway capture: If thermal runaway occurs, the ARC measures temperature and pressure with respect to time.
Yes, ARC measures sample temperature and pressure with respect to time under adiabatic conditions. Adiabatic temperature rise is estimated by temperature rise times thermal inertia. Heat generated is estimated by the following: Q (joules) = Msample (g) x Cpsample(Joules/g.C) x Adiabatic T rise of sample (°C) ARC continuously measures the pressure inside the sample container. From the know fixed volume of container and pressure, volume of gas generated is estimated

ARC testing can be performed on a wide range of substances, including:

  • Reactive organic and inorganic chemicals
  • Polymerization systems and curing agents
  • Catalyst mixtures
  • Battery components (electrolytes, electrodes, separators)
  • Energetic materials and propellants

It provides critical thermal and kinetic data that is essential for ensuring process safety:

  • Safe operating temperature and pressure
  • Emergency relief system design (e.g., DIERS/PSV sizing)
  • Reaction hazard classification (exothermicity, runaway potential)

It is used in the following ways:

  • Identifying thermal instability and reaction hazard
  • Evaluating thermal runaway potential
  • Designing pressure relief and vent systems
  • Defining safe operating and storage conditions
  • Determining self-accelerating decomposition temperature (SADT)
  • Input for reaction kinetic modeling
  • Supporting layer of protection analysis (LOPA)

While Differential Scanning Calorimetry (DSC) provide screening data at small sample scales, ARC replicates adiabatic conditions to simulate real-world runaway behavior — offering more accurate insight into large-scale hazards.

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